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IA CABLE READER
NB 4025
Aerospace, naval, and automotive.

Computer vision solution developed for demanding and repeatable industrial environments, combining robust hardware, embedded artificial intelligence, and edge computing to automate the reading of codes printed on wires and electrical cables of different shapes and gauges.

The architecture integrates a high-performance NVIDIA processor and a BAUMER industrial camera, ensuring high-fidelity image capture and low-latency local processing. Native integration with industrial systems eliminates human reading and typing errors, reducing mistakes during connector assembly, as well as decreasing visual fatigue and ergonomic strain on the operator.

IA Bug

Advanced computer vision platform based on artificial intelligence developed to automate the counting of insects captured in sticky traps.Compatible with different agricultural crops and pest species, the solution replaces manual processes with a precise, fast, and traceable digital workflow, raising the standard of infestation monitoring in the field.

Operation is performed through a robust mobile application, prepared for environments with low or no connectivity.The operator selects the previously registered property and plot, captures the image of the trap, and the system automatically records the geolocation. Even in offline mode, the application stores data and images locally and automatically sends them to the cloud as soon as the connection is re-established, where Artificial Intelligence and Computer Vision algorithms perform the identification, counting, and structuring of the information.
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As a result, IA BUG delivers analytical reports with data and visual evidence, in addition to allowing complete planning of the field journey—from trap deployment to collection—with geographic traceability and operational control. The solution, which can be integrated into agricultural systems via API, increases the speed and reliability of monitoring, reduces human error, and provides a robust foundation for smarter and more scalable agronomic decisions. Read less...

Dropalbum

Online software with artificial intelligence for automatic grouping of photos of people with facial recognition. The simple and easy solution to organize your photos. No need to log in, just fill in 5 fields and attach your photo folder in ZIP or RAR format. Receive an email with an easy and secure payment link via PIX. As soon as the payment is confirmed, our Artificial Intelligence will begin to separate and organize your photos into personalized albums. Finally, you will receive an email with a link to download the organized albums.

+ 21K hours

of project development

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